Senior Staff Machine Learning Engineer, Ads Measurement
Reddit- Full Time
- Senior (5 to 8 years)
We are seeking an experienced ML Architect to collaborate with Data Scientists, AI/ML community across BUs, Data Engineering, SMEs, and technical leads. The goal is to evangelize and translate business problems into scalable ML solutions across the client.
Key Responsibilities include:
Job Type: Not specified Location Type: Remote
At Mindera, we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do. We partner with our clients to understand their products and deliver high-performance, resilient, and scalable software systems that create an impact on their users and businesses across the world. You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-management attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and love to learn all and everything while navigating through an Agile, Lean, and collaborative environment.
Check out our Blog and our Handbook!
Develops AI tools for sustainable agriculture
Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.